Hybrid tiki taka and mean differential evolution based weibull distribution: A comprehensive approach for solar pv modules parameter extraction with newton-raphson …

C Chermite, MR Douiri - Energy Conversion and Management, 2024 - Elsevier
Effective parameter extraction is crucial in modeling and analyzing complex systems,
particularly photovoltaic (PV) cells/modules. Therefore, it is essential to develop a robust …

An efficient hybrid technique for energy management system with renewable energy system and energy storage system in smart grid

MJ Kumar, T Sampradeepraj, E Sivajothi, G Singh - Energy, 2024 - Elsevier
This manuscript proposes a hybrid technique for an energy management system (EMS) with
a renewable energy system and energy storage system using the smart micro grid. This …

Mitigating local minima in extracting optimal parameters for photovoltaic models: an optimizer leveraging multiple initial populations (OLMIP)

I Choulli, M Elyaqouti, D Saadaoui, S Lidaighbi… - International Journal of …, 2024 - Elsevier
The accurate identification of parameters in photovoltaic models is of paramount importance
to accurately predict the electrical behavior of photovoltaic systems and improve their …

Flying foxes optimization with reinforcement learning for vehicle detection in UAV imagery

N Almakayeel - Scientific Reports, 2024 - nature.com
Intelligent transportation systems (ITS) are globally installed in smart cities, which enable the
next generation of ITS depending on the potential integration of autonomous and connected …

[HTML][HTML] An approach for improving parameter extraction in PV solar cell models using metaheuristic algorithms

YB said, Z Sakhi, M Bennai - Energy Systems, 2024 - Springer
This paper presents a new method for parameter extraction in PV systems, specifically
single-and three-junction solar modules. Our method simplifies the traditional complexity of …

[HTML][HTML] Customer segmentation using flying fox optimization algorithm

K Zervoudakis, S Tsafarakis - Journal of Combinatorial Optimization, 2025 - Springer
Customer segmentation, a critical strategy in marketing, involves grouping consumers based
on shared characteristics like age, income, and geographical location, enabling firms to …

An optimal Bi-gated recurrent unit and ResNET using IoT for healthcare monitoring

A Jayaraman, PK Jangalapuram, C Ambayiram… - Expert Systems with …, 2024 - Elsevier
Abstract Chronic Kidney Disease (CKD) and liver diseases are progressive diseases with
high morbidity and large fatal rates occurring generally in the adult population exclusively …

An application of Computational Intelligence in group formation for digital drama education

K Mastrothanasis, K Zervoudakis, M Kladaki - Iran Journal of Computer …, 2024 - Springer
Unveiling the intersection of technology and art, this research aims to explore the vital role of
Computational Intelligence (CI) techniques in shaping digital theater performances within …

[HTML][HTML] Predicting brain tumor presence using machine learning models

W Huang, Z Dai - Multiscale and Multidisciplinary Modeling, Experiments …, 2025 - Springer
A brain tumor is an abnormal growth of the cells within the brain either benign or malignant.
The benign ones have relatively slow growth and do not contain any cancerous component …

Impact of Optimization Algorithm Choice on Nonlinear Global Model for Photovoltaic Energy Generation Forecasting

VMC Junior, TA Fernandes, RA Freitas… - Eletrônica de …, 2024 - journal.sobraep.org.br
The article explores the relevance of choosing the optimization algorithm to obtain accurate
parameter estimates in photovoltaic (PV) systems, with the aim of improving the energy …